Varada, a data lake query acceleration provider, announced its platform now supports text analytics workloads and helps data teams deliver faster time-to-insights on exabytes of string-based data. Varada’s solution for interactive text analytics, integrated with open source search engine Apache Lucene, works directly on the customer’s data lake and serves SQL data consumers out-of-the-box. Varada’s text analytics feature is deployed in the organization’s own environment, so the data is not duplicated and never leaves. Plus, it incorporates all data from any source without modeling with results that are both thorough and precise. Varada’s dynamic and adaptive indexing technology enables text analytics workloads to run at close to zero latency response time.

Varada’s adaptive and autonomous indexing technology leverages machine learning capabilities to dynamically accelerate queries to meet evolving business requirements. Varada indexes data directly from the data lake across any columns. Based on the data type, structure, and distribution of data, Varada automatically creates an optimal index from a set of indexing algorithms including text-optimized search and index (based on Apache Lucene) as well as bitmap, dictionary, trees, etc. Indexes also adapt to changes in data over time.